Tsuneo Kagawa, Hideki Kudo, S. Tanoue, H. Kiyosue, H. Mori, Hiroaki Nishino, K. Utsumiya
{"title":"Development of Medical Imaging Diagnosis Support System with Sound Effects","authors":"Tsuneo Kagawa, Hideki Kudo, S. Tanoue, H. Kiyosue, H. Mori, Hiroaki Nishino, K. Utsumiya","doi":"10.1109/INCoS.2011.75","DOIUrl":null,"url":null,"abstract":"Recently, Computer Aided Diagnosis (CAD) has become one of the most important for medical activity. The more exact and various CAD become, the larger amount of medical images are provided. Furthermore, these images becomes high definition. Radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose the technique to generate sound information based on the image features and discuss their effects for diagnosis. Generating sound effects helps for attention rousing and the fatigue reduction for medical imaging diagnosis.","PeriodicalId":235301,"journal":{"name":"2011 Third International Conference on Intelligent Networking and Collaborative Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Third International Conference on Intelligent Networking and Collaborative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INCoS.2011.75","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recently, Computer Aided Diagnosis (CAD) has become one of the most important for medical activity. The more exact and various CAD become, the larger amount of medical images are provided. Furthermore, these images becomes high definition. Radiologists have to cost their time and efforts to investigate these medical images. It is strongly required to reduce their burden without debasing the quality of imaging diagnosis. In this paper, we propose the technique to generate sound information based on the image features and discuss their effects for diagnosis. Generating sound effects helps for attention rousing and the fatigue reduction for medical imaging diagnosis.